IP Library Granted Patent US 8,891,850
Granted Patent B2
US 8,891,850 · App. 13/234,790 · Granted Nov 18, 2014

System and methods for digital evaluation of cellblock preparations

Inventors: Ossama Tawfik (Leawood, KS); Brian Potetz (Lawrence, KS)
Assignee: The University of Kansas
G06K9/00127
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 8,891,850
App. No.
13/234,790
Granted
Nov 18, 2014
Kind
B2
Abstract

Digital evaluation of cellblock preparations to determine the type and extent of disease in order to identify the best approach for treatment without the need for additional testing or sampling.

Claims (32)

1. A computer system method for evaluation of cellblock preparations, comprising the steps of:

producing digitally a treated Pap smear sample to obtain a digital image;

segmenting the digital image to obtain a plurality of segmented digital images;

processing each segmented digital image of the plurality, wherein said processing step further comprises the steps of:

locating a nucleus of a cell within each segmented digital image, wherein said locating step further comprises the step of determining an outline of the nucleus of the cell;

extracting one or more visual features of the nucleus, and

ranking the one or more visual features of the nucleus based on a level of abnormality and a level of suspicion to obtain one or more quantified features within each segmented digital image;

joining all segmented digital images to obtain a final digital image;

collecting all quantified features of the final digital image to obtain a collection of quantified features;

correlating the collection of quantified features to a diagnosis classification; and

communicating the diagnosis classification.

2. The computer system method for evaluation of cellblock preparations according to claim 1 , wherein each segmented digital image of the plurality is a tile.

3. The computer system method for evaluation of cellblock preparations according to claim 1 , wherein said ranking step further comprises the step of applying a scoring algorithm to obtain the one or more quantified features.

4. The computer system method for evaluation of cellblock preparations according to claim 1 further comprising the step of archiving within a database one or more of the following: the digital image, the segmented digital image, the final digital image.

5. The computer system method for evaluation of cellblock preparations according to claim 4 , wherein the database is located on a cloud computing network.

6. The computer system method for evaluation of cellblock preparations according to claim 1 , wherein the one or more visual feature of the nucleus is at least one selected from the group comprising of: a morphological feature including nuclei size and nuclei shape, a textural feature including nucleus size and nucleoli, and an architectural feature including a spatial arrangement of the cell.

7. The computer system method for evaluation of cellblock preparations according to claim 1 , wherein the step of locating a nucleus of a cell within each segmented digital image further comprises the step of applying a quadratic filter to the segmented digital image.

8. The computer system method for evaluation of cellblock preparations according to claim 1 , wherein said processing step of each segmented digital image of the plurality is performed simultaneously such that all segmented digital images are processed in parallel.

9. The computer system method for evaluation of cellblock preparations according to claim 1 , wherein the diagnosis classification is determined by one or more support vector machines.

10. A system for evaluation of cellblock preparations, comprising:

a processor configured to receive a digital Pap smear image, segment the digital Pap smear image to obtain a plurality of segmented images, locate a nucleus of a cell including an outline of the nucleus within each segmented image and ranks one or more visual features of the nucleus based on a level of abnormality and a level of suspicion to obtain one or more quantified features within each segmented image; and

the processor further configured to join all segmented images to obtain a final digital image, collect the one or more quantified features of the final digital image to obtain a collection of quantified features, and correlate the collection of quantified features to a diagnosis classification in order to communicate the diagnosis classification.

11. The system for evaluation of cellblock preparations according to claim 10 further comprising a database for archiving one or more of the following: the digital Pap smear image, the segmented image, the final digital image.

12. The system for evaluation of cellblock preparations according to claim 11 , wherein the database is located on a cloud computing network.

13. The system for evaluation of cellblock preparations according to claim 10 , wherein the one or more quantified features is at least one selected from the group comprising of: a morphological feature including nuclei size and nuclei shape, a textural feature including nucleus size and nucleoli, and an architectural feature including a spatial arrangement of the cell.

14. The system for evaluation of cellblock preparations according to claim 13 , wherein the morphological feature includes a degree of variance of nucleus size and nucleus shape.

15. The system for evaluation of cellblock preparations according to claim 13 , wherein the textural feature includes a measurement by the histograms and co-occurrence matrices of pixel colors.

16. The system for evaluation of cellblock preparations according to claim 13 , wherein the architectural feature includes the spatial arrangement of cells within the digital Pap smear image.

17. The system for evaluation of cellblock preparations according to claim 10 , wherein said processor utilizes a quadratic filter to locate a nucleus of a cell within the segmented image.

18. The system for evaluation of cellblock preparations according to claim 10 , wherein said processor simultaneously processes in parallel each segmented image.

19. The system for evaluation of cellblock preparations according to claim 10 , further comprising a support vector machine to determine the diagnosis classification.

20. The system for evaluation of cellblock preparations according to claim 19 , wherein the diagnosis classification is the Bethesda System.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 22, 2011
From: TAWFIK, OSSAMA; POTETZ, BRIAN
To: THE UNIVERSITY OF KANSAS
Reel/Frame 027432/0636 →
Continuity (2)
Provisional Application 61383466 · Sep 16, 2010
Related Publication 20120237107A1 · Sep 20, 2012